@inproceedings{13c31308e3144b58b62225b148f4a2a4,
title = "Surface consistent light field extrapolation over stratified disparity and spatial granularities",
abstract = "The light field captures both the spatial and angular configurations of the scene, which facilitates a wide range of imaging possibilities. In this work, we propose an LF view extrapolation algorithm which renders high quality novel LF views far outside the range of given angular baselines. A stratified synthesis strategy is adopted which projects the scene content based on stratified disparity layers and across varying scales of spatial granularities. Such a stratified methodology proves to help preserve scene structures over large angular shifts, and provide informative clues for inferring the contents of occluded regions. A generative-adversarial network model is further adopted for parallax correction and occlusion completion conditioned on surface consistent feature. Experiments show that our proposed model can provide more reliable novel view extrapolation quality at large baseline extension ratios compared with state-of-the-art LF synthesis algorithms.",
keywords = "Angular extrapolation, GAN, Inpainting, Light field",
author = "Jie Chen and Chau, {Lap Pui} and Junhui Hou",
note = "Funding Information: This work was supported in part by the HIRP project under Grant 9231332, in part by the Hong Kong RGC under Grant 9048123, and in part by the Basic Research General Program of Shenzhen Municipality under Grant JCYJ20190808183003968. †Lap-Pui Chau (elpchau@ntu.edu.sg) is the corresponding author.; 2020 IEEE International Conference on Multimedia and Expo, ICME 2020 ; Conference date: 06-07-2020 Through 10-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ICME46284.2020.9102806",
language = "English",
series = "Proceedings - IEEE International Conference on Multimedia and Expo",
publisher = "IEEE Computer Society",
booktitle = "2020 IEEE International Conference on Multimedia and Expo, ICME 2020",
address = "United States",
}